{"total":50,"rows":[{"id":"2407.01523","title":"MMLongBench-Doc: Benchmarking Long-context Document Understanding with Visualizations","created":"2024-07-01","cited_by_count":183,"area":null},{"id":"2305.08455","title":"Document Understanding Dataset and Evaluation (DUDE)","created":"2023-05-15","cited_by_count":135,"area":null},{"id":"2409.03420","title":"mPLUG-DocOwl2: High-resolution Compressing for OCR-free Multi-page Document Understanding","created":"2024-09-05","cited_by_count":114,"area":null},{"id":"2501.08828","title":"MMDocIR: Benchmarking Multimodal Retrieval for Long Documents","created":"2025-01-15","cited_by_count":43,"area":null},{"id":"2504.18838","title":"Toward Generalizable Evaluation in the LLM Era: A Survey Beyond Benchmarks","created":"2025-04-26","cited_by_count":28,"area":null},{"id":"2506.14035","title":"SimpleDoc: Multi-Modal Document Understanding with Dual-Cue Page Retrieval and Iterative Refinement","created":"2025-06-16","cited_by_count":28,"area":null},{"id":"2306.00526","title":"Layout and Task Aware Instruction Prompt for Zero-shot Document Image Question Answering","created":"2023-06-01","cited_by_count":24,"area":null},{"id":"2408.01287","title":"Deep Learning based Visually Rich Document Content Understanding: A Survey","created":"2024-08-02","cited_by_count":21,"area":null},{"id":"2502.18778","title":"M2-omni: Advancing Omni-MLLM for Comprehensive Modality Support with Competitive Performance","created":"2025-02-26","cited_by_count":19,"area":null},{"id":"2312.10108","title":"Privacy-Aware Document Visual Question Answering","created":"2023-12-15","cited_by_count":17,"area":null},{"id":"2308.12896","title":"Beyond Document Page Classification: Design, Datasets, and Challenges","created":"2023-08-24","cited_by_count":10,"area":null},{"id":"2402.03848","title":"ANLS* -- A Universal Document Processing Metric for Generative Large Language Models","created":"2024-02-06","cited_by_count":10,"area":null},{"id":"2403.19454","title":"JDocQA: Japanese Document Question Answering Dataset for Generative Language Models","created":"2024-03-28","cited_by_count":9,"area":null},{"id":"2503.18434","title":"A Simple yet Effective Layout Token in Large Language Models for Document Understanding","created":"2025-03-24","cited_by_count":9,"area":null},{"id":"2404.19024","title":"Multi-Page Document Visual Question Answering using Self-Attention Scoring Mechanism","created":"2024-04-29","cited_by_count":8,"area":null},{"id":"2501.03403","title":"BoundingDocs: a Unified Dataset for Document Question Answering with Spatial Annotations","created":"2025-01-06","cited_by_count":8,"area":null},{"id":"2305.00795","title":"SelfDocSeg: A Self-Supervised vision-based Approach towards Document Segmentation","created":"2023-05-01","cited_by_count":7,"area":null},{"id":"2404.12720","title":"PDF-MVQA: A Dataset for Multimodal Information Retrieval in PDF-based Visual Question Answering","created":"2024-04-19","cited_by_count":7,"area":null},{"id":"2408.15646","title":"{\\mu}gat: Improving Single-Page Document Parsing by Providing Multi-Page Context","created":"2024-08-28","cited_by_count":7,"area":null},{"id":"2511.17490","title":"Video-R4: Reinforcing Text-Rich Video Reasoning with Visual Rumination","created":"2025-11-21","cited_by_count":6,"area":null},{"id":"2604.12352","title":"MultiDocFusion: Hierarchical and Multimodal Chunking Pipeline for Enhanced RAG on Long Industrial Documents","created":"2026-04-14","cited_by_count":6,"area":null},{"id":"2305.01938","title":"Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents via Semantic-Oriented Hierarchical Graphs","created":"2023-05-03","cited_by_count":5,"area":null},{"id":"2510.13366","title":"Document Intelligence in the Era of Large Language Models: A Survey","created":"2025-10-15","cited_by_count":5,"area":null},{"id":"2605.12882","title":"CiteVQA: Benchmarking Evidence Attribution for Trustworthy Document Intelligence","created":"2026-05-13","cited_by_count":5,"area":null},{"id":"2501.02235","title":"Survey on Question Answering over Visually Rich Documents: Methods, Challenges, and Trends","created":"2025-01-04","cited_by_count":4,"area":null},{"id":"2408.04632","title":"Arctic-TILT. Business Document Understanding at Sub-Billion Scale","created":"2024-08-08","cited_by_count":3,"area":null},{"id":"2504.09249","title":"NoTeS-Bank: Benchmarking Neural Transcription and Search for Scientific Notes Understanding","created":"2025-04-12","cited_by_count":3,"area":null},{"id":"2512.12658","title":"CogDoc: Towards Unified thinking in Documents","created":"2025-12-14","cited_by_count":3,"area":null},{"id":"2602.23061","title":"MoDora: Tree-Based Semi-Structured Document Analysis System","created":"2026-02-26","cited_by_count":3,"area":null},{"id":"2406.06236","title":"UnSupDLA: Towards Unsupervised Document Layout Analysis","created":"2024-06-10","cited_by_count":2,"area":null},{"id":"2411.03730","title":"NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA","created":"2024-11-06","cited_by_count":2,"area":null},{"id":"2607.11192","title":"GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents","created":"2026-07-13","cited_by_count":2,"area":null},{"id":"2405.06636","title":"Federated Document Visual Question Answering: A Pilot Study","created":"2024-05-10","cited_by_count":1,"area":null},{"id":"2511.18329","title":"SciPostLayoutTree: A Dataset for Structural Analysis of Scientific Posters","created":"2025-11-23","cited_by_count":1,"area":null},{"id":"2605.12703","title":"MMCL-Bench: Multimodal Context Learning from Visual Rules, Procedures, and Evidence","created":"2026-05-12","cited_by_count":1,"area":null},{"id":"2609.37923","title":"EpiCon: Collective Agent Learning through Co-Evolving Multimodal Memory","created":"2026-09-29","cited_by_count":1,"area":null},{"id":"2310.09432","title":"Enhancing BERT-Based Visual Question Answering through Keyword-Driven Sentence Selection","created":"2023-10-13","cited_by_count":0,"area":null},{"id":"2503.16854","title":"Generative Compositor for Few-Shot Visual Information Extraction","created":"2025-03-21","cited_by_count":0,"area":null},{"id":"2508.13606","title":"AdaDocVQA: Adaptive Framework for Long Document Visual Question Answering in Low-Resource Settings","created":"2025-08-19","cited_by_count":0,"area":null},{"id":"2511.16417","title":"Pharos-ESG: A Framework for Multimodal Parsing, Contextual Narration, and Hierarchical Labeling of ESG Report","created":"2025-11-20","cited_by_count":0,"area":null},{"id":"2607.01245","title":"Office Comprehension Benchmark","created":"2026-05-29","cited_by_count":0,"area":null},{"id":"2607.05927","title":"CMDR: Contextual Multimodal Document Retrieval","created":"2026-07-07","cited_by_count":0,"area":null},{"id":"2607.20495","title":"Workload-Aware Caching for Multi-Agent Systems","created":"2026-06-14","cited_by_count":0,"area":null},{"id":"2607.21780","title":"Khondo: A Multimodal Benchmark for Document Packet Splitting of Bangla Forms","created":"2026-07-23","cited_by_count":0,"area":null},{"id":"2607.29638","title":"HierDoc: Hierarchical Page-to-Region Evidence Routing for Long-Document Visual Question Answering","created":"2026-07-31","cited_by_count":0,"area":null},{"id":"2608.00036","title":"XL-DocBench: Benchmarking Evidence-Grounded Extra-Long Document Understanding","created":"2026-07-21","cited_by_count":0,"area":null},{"id":"2608.26317","title":"Modality Maturity Index: A benchmark for assessing multimodal capabilities of omni models","created":"2026-08-26","cited_by_count":0,"area":null},{"id":"2610.14531","title":"LongHisDoc: A Comprehensive Benchmark for Chinese Long Historical Document Understanding","created":"2026-10-10","cited_by_count":0,"area":null},{"id":"2610.15228","title":"Words to World: Benchmarking LLMs in Interactive Physical Environments","created":"2026-10-10","cited_by_count":0,"area":null},{"id":"2610.17057","title":"VL-DocIR: A Benchmark for Vision-Based Long Document Information Retrieval","created":"2026-10-12","cited_by_count":0,"area":null}],"next_cursor":null}